REVISTA DYNA MANAGEMENT

Key words:

gestión de servicios públicos, optimización de recursos, organización de empresas, modelización matemática, algoritmos, public services management, resource optimization, organizational structure, algorithms

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

ABSTRACT:
This paper presents a methodology for planning and organizing resources in the context of a medical clinic emergency. This methodology can be applied to other type of services and is implemented in software that effectively solves the planning of certain tasks. Planning the primary attention emergency services (to improve their quality and to be attractive for patients) can clear the hospital emergency rooms, influencing in an integral way the whole sanitary emergency service. The hospital emergency services receive a considerable proportion of patients who should be assisted in the emergency services for primary attention. A reduced wait time is the main factor that patients identify with quality of service. Therefore, optimizing this element is an option to reach this aim. This has led to the development of an algorithm which aims to not exceed a prearranged wait time in the emergency services of primary attention, and gets as a response the distribution of personnel to be assigned to optimize the consumption of resources. Additionally, it is given a second computational development which transforms the previous theoretical assignment of personnel into another one that is easily applicable in practice by the agents of the services. It has developed a plan that calculates the number of doctors needed in an emergency service of primary attention, once the maximum wait time desired of this service has been determined. The plan is a tool for the management and planning of the number of doctors and their activity in an emergency service of primary attention, depending on the desired wait time, which adapts to the dynamic and changing features which these services present due to their application in a wide variety of production sectors.
Keywords: public services management, resource optimization, organizational structure, algorithms